Software Development Engineer, StoreGen

Amazon • Seattle, WA

4d • $143,700 - $194,400 • Onsite

About The Position

StoreGen is hiring SDEs to work on Applying Expertise at Scale — an initiative to fundamentally change how expertise reaches Amazon's software. Today, every builder team is expected to independently learn and apply a growing set of standards — accessibility, availability, security, internationalization, and more — on top of building their actual products. We believe there's a better way: expert teams should apply their expertise directly, at scale, across Amazon's software. This is a ground-floor opportunity. We don't yet know exactly what needs to be built — that's part of the job. You'll join a small, high-performing team that operates with high judgment, clear communication, deep collaboration, and a laser focus on uncovering value. The team's mission is to explore how StoreGen and adjacent technologies can serve as the connective tissue for applying expertise at scale — storing expertise, surfacing it in context, and enabling expert teams to reach software they couldn't before. This is an AI-native role. You are expected to operate proficiently with all AI tools and implement AI technologies as solutions. The team treats AI not as an add-on but as a first-class participant in how we build, experiment, and deliver.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Nice To Haves

• Bachelor's degree in computer science or equivalent
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience with architecting highly available systems that utilize load balancing, horizontal scalability and high availability
• Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment
• Experience leading and influencing your team or organization, or experience leading engineering teams as a mentor or tech lead
• Experience with AI/ML technologies
• Experience troubleshooting and debugging technical systems, or experience with automation and any version control tools and experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications
• Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership

Responsibilities

• Own problem spaces end-to-end: Take ownership of entire problem areas within the initiative — from research and discovery through design, implementation, and measurement. Drive clarity in ambiguous spaces.
• Explore and build: Experiment with approaches to store, surface, and apply expertise across Amazon's software — prototyping solutions, running experiments, and iterating based on what we learn.
• Design for scale: Architect systems that can apply expertise reliably across thousands of services — considering how standards evolve, how trust is built, and how changes reach software safely.
• Ship AI-native solutions: Design and implement systems that use AI to apply expertise in context — whether that's shaping code as it's written, transforming existing code, or surfacing the right knowledge at the right moment.
• Build in the open: Work closely with expert teams across Amazon to understand how they define and apply standards today, and what they'd need to do it at scale. Influence partner teams through strong technical communication.
• Contribute to existing AI native technologies as the team discovers where it fits in the broader initiative.
• Collaborate and influence: Partner with engineers across StoreGen, eCF, and expert teams throughout Amazon. Communicate effectively across organizational boundaries to drive alignment and adoption.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level